Data Analysis with Stata: Practical Foundations

Data is only as valuable as the insights you can extract from it, yet getting started with statistical software can feel overwhelming. This course guides you step-by-step through Stata, one of the most powerful and widely used tools for data analysis and research. By reading through clear explanations and practical examples, you will transform raw datasets into meaningful statistical reports and clear visualizations. You will master the core commands needed to confidently handle real-world data and establish reproducible research workflows. What you'll learn: 1. Understand the Stata interface, command syntax, and foundational data structures. 2. Import and clean datasets from various formats while handling missing values. 3. Perform descriptive statistical analysis to summarize key data characteristics. 4. Conduct basic hypothesis testing, t-tests, and linear regression analyses. 5. Create and customize clear, publication-quality data visualizations. 6. Write reproducible analysis scripts using do-files to automate your workflow. The course begins with essential terminology and navigating the user interface before moving into hands-on data manipulation, statistical analysis, and scripting. You will progress from opening your first dataset to writing clean, automated analysis files. This course is designed specifically for beginners, students, and researchers with no prior programming or Stata experience. Start building your data analysis skills today.